I am working as a Hardware Engineer in the R&D center of CAS Headquarters Corporation in Yangju, South Korea. My Ph.D. graduation is set for February 2023 from the Department of Elec...trical and Electronics Engineering at Pusan National University in Busan, South Korea.Before that, I got two BScs. in engineering, one in Telecommunications specialisation in Networks and the second in Biomedical Equipment Engineering, both in Guinea. In 2017, I got my MSc in Engineering from the Interdisciplinary Biomedical Mechanical and Electronics Engineering program at Pukyong National University in Busan.
Smart Farming, Precision in Agriculture, Plant physiology, etc.
Circuits Design & Analysis, Noise Reduction, etc.
PCB Design & Layout, A.I., Programming, Signal Processing, etc.
Assistant Project Manager (CAS R&D)
Development of Digital Calibration Simulator for Development of Fixed Scale and Calibration Noise Analysis in CAS Commercial Model (MW-II)!.
Hardware Engineer (CAS R&D)
Development of a digital calibration stimulator for the development of a fixed scale and a calibration noise analysis in the CAS commercial model and Other relative works!.
Ph.D. in Electronics Engineering
Research on smart agriculture. A mixture between electronic sensors and nature aims to predict the plant's physiological state in real-time.
MSc. in Biomedical Mechanical and Electrical Engineering
Research on the design and measurement of pressure using an induced oscillation in a thin film of vanadium dioxide.
BSc. Degree in Engineering in Networks / Telecommunications
BSc. degree in Engineering in Biomedical Equipment Technology
Ability to Learn New Skills
Work under pressure with Rigor and trustworthiness
Good and reliability Results
Team Work & Responsible attitude
This deep learning is made by stacking multiple layers of neural networks. When you learned the function y=f(x) in your middle school textbook, do you remember that you learned another function, the composition function, that is inside the function y = f(g(x))? Deep Neural Network, another name, 'Deep Learning', is created by stacking several layers in 'Artificial Neural Network', which is made by following 'Neural Network', which is a synthesis of animal nerve cells like the synthesis of functions. created. It is a learning method called 'deep learning, deep learning' because the 'layer' is deep.
AI systems work by ingesting large amounts of labeled training data, analyzing the data for correlations and patterns, and using these patterns to make predictions about future states. In this way, a chatbot that is fed examples of text chats can learn to produce lifelike exchanges with people, or an image recognition tool can learn to identify and describe objects in images by reviewing millions of examples. AI programming focuses on three cognitive skills: learning, reasoning and self-correction.
In machine learning , given data is processed by humans first. A person first instructs the computer how to extract a specific pattern, and then the computer analyzes and accumulates the characteristics of the data itself. It is to solve problems based on this accumulated data. For example, a person first looks at pictures of dogs and cats, extracts the features of dogs and cats, and then makes the computer learn and identify them through many examples.
Application software uses the computer system to perform special functions beyond the basic operation of the computer itself, System software manages hardware behaviour, as to provide basic functionalities that are required by users, or for other software to run properly, if at all. Malicious software, or malware, is software that is developed to harm or disrupt computers. Malware is closely associated with computer-related crimes, though some malicious programs may have been designed as practical jokes.
It is one of the best and reliable online Tools for Teaching & Learning for everyone. Coursera allows students anywhere in the world to experience a large, self-paced educational opportunity with world-class faculty. Coursera’s model of providing certificates of completion can make a university education accessible to populations who may live in remote areas or in parts of the world that have limited resources (e.g., war-torn regions).
Physiology is the branch of science that deals with the functional aspects of a living organism at the molecular and cellular level. Plant physiology deals with all those events that are vital for the sustenance of a plant. Therefore, plant physiology is the applied field of plant anatomy and plant morphology. Since you have familiarised yourself with the conceptual understanding of the structural organization in plants, this chapter would provide you with a vast and open field to apply those concepts.
By: J. Christian Nouaze et al. 1904 849 192
by Joseph Christian Nouaze (1,2), Jae Hyung Kim (3), Gye Rok Jeon (4), and Jae Ho Kim (1,4) (1) Department of Electronics Engineering, Pusan National University, Busan 46241, Republic of Korea (2) CAS Corporation, Headquarters, R&D Center, Yangju 11415, Republic of Korea (3) Corporate R&D Center, Hanwool Bio, Yangsan 50561, Republic of Korea (4) Exsolit Research Center, Yangsan 50561, Republic of Korea
Received: 26 Oct. 2022 / Revised: 5 Dec. 2022 / Accepted: 7 Dec. 2022 / Published: 10 Dec. 2022(This article belongs to "the Special Issue Advances in Agriculture Sensor Technologies and Their Applications in Precision Agriculture and Smart Farming.")
An electrical impedance spectroscopy (EIS) experiment was performed using a double-shell electrical model to investigate the feasibility of detecting physiological changes in lettuce leaves over 16 h... Read more
By: J. Christian Nouaze et al. 456 201 91
In this study, a lettuce leaf was monitored using a bioimpedance spectroscopy technique for 19 hours (6 am to midnight). Water was supplied just after 6 am, and the leaves were irradiated with growing LEDs from 8 am to 8 pm.... Read more
By: J. Christian Nouaze {co-author} 14093 9048 2612 149 2022 Best Paper Award
Automatic fruit detection is a very important benefit of harvesting robots. However, complicated environment conditions, such as illumination variation, branch, and leaf occlusion as well as tomato overlap, have made fruit detection very challenging.... Read more
